Manager Engineering

Amsterdam, The Netherlands
Fulltime employee
130.000  -  150.000
Data

2020, the year of the work-from-home revolution. We’ve finally broken free from outdated traditions and it has forever changed the way we do things. But remote working is not without its challenges, especially when it requires collaboration. So how do we make sure to keep communicating, sharing ideas, and challenging each other?

With software, of course!

As usual, technology is the answer. A platform where people can work together online just like they would if they were in the same room. With post-it notes, flip-overs, whiteboards, and flow charts. The only difference? These post-it notes are fully integrated with Slack, Trello, and any other tool you can imagine.

From the occasional brainstorming-session to complete sprint planning and project management, it’s all made possible by this one single platform. And because it all happens in the cloud, it’s available anywhere, anytime. Now, all we need is someone to keep up with the ever-growing data and still be able to make the best business decisions. This is where you come in.

What can I do?

Now that working-from-home is starting to look more like a permanent reality than an occasional luxury, the number of users is rising quickly. From over 8 million currently, to potentially hundreds of millions in just a few years. Someone has to implement a vision on how to create a world-class data engineering organization that is efficient and healthy, with all the tools available.

Sure, but how?

First, you’ll have to make sure you’ve got the right people on your team to get the work done. So, building, growing, and developing your data engineering team will be key. Once you’ve got the right people on board, it’s time to give them some much-needed guidance. Define, create and maintain data processing pipelines and framework and invent and implement new prediction algorithms and ML models. Partly by actually managing the day-to-day, partly by structuring the company-wide engineering processes.

Sounds like quite a challenge. Are you sure I’m up for it?

To be honest, it might be too big of a challenge even for you. You’ll clearly need quite a bit of solid experience with data engineering and proven experience in managing multiple teams (40+ FTE). To succeed you will need Strong analytical and engineering skills and the ability to create new models as well as engineering pipelines to implement them. And lastly, strong stakeholder management and communication skills are a must. It’s all about collaboration, after all.

I’m definitely up for it, but I would like to get paid…

No worries there. You’ll start with a very comfortable base salary up to €150.000 gross a year and all the secondary benefits you can think of. From a pension plan and health insurance to WFH-compensation. Still, the major selling point here has to be the opportunity to make your mark on a fast-growing scale-up with the goal of changing the way people work, everywhere. So what are you waiting for? Apply now and get started!

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